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The International Statistical Review (ISR) is the flagship journal of the International Statistical Institute and of its constituent sections (the Bernoulli Society for Mathematical Statistics and Probability, the International Association for Official Statistics, the International Association for Statistical Computing, the International Association for Statistical Education, the International Association of Survey Statisticians and the International Society for Business and Industrial Statistics). The ISR is widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the ISR is to publish papers of an expository, review, or tutorial nature that will be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.

The "moving wall" represents the time period between the last issue
available in JSTOR and the most recently published issue of a journal.
Moving walls are generally represented in years. In rare instances, a
publisher has elected to have a "zero" moving wall, so their current
issues are available in JSTOR shortly after publication.
Note: In calculating the moving wall, the current year is not counted.
For example, if the current year is 2008 and a journal has a 5 year
moving wall, articles from the year 2002 are available.

Terms Related to the Moving Wall

Fixed walls: Journals with no new volumes being added to the archive.

Absorbed: Journals that are combined with another title.

Complete: Journals that are no longer published or that have been
combined with another title.

Abstract

Making quantified statements about the uncertainty associated with the lifelength of an item is one of the most fundamental tasks of reliability assessment. Most practitioners routinely do this using one of the several available statistical techniques. The purpose of this paper is two-fold. The first is to give the user an overview of the key tenets of two of the most commonly used parametric approaches. The second is to point out that these commonly used approaches involve strategies that are either ad hoc, or are in violation of some of the underlying tenets. A method that is devoid of logical flaws can be proposed, but this method is difficult to implement. The user must therefore resign to using that technique against which the fewest objections can be hurled. /// Une des activités les plus fondamentales du contrôle de la fiabilité d'un objet consiste à faire connaître de façon quantitative l'incertitude associée à sa durée de vie. La plupart des praticiens utilisent couramment pour ce faire une des techniques statistiques disponibles. L'objectif de cet article est double. Il vise d'abord à donner à l'utilisateur une vue d'ensemble des principes clés de deux des approches paramétriques les plus souvent utilisées. Il met ensuite l'accent sur le fait que ces approches habituelles impliquent des stratégies qui sont soit ad hoc, soit en violation de certains des principes sous-jacents. On peut proposer une méthode exempte de problèmes logiques, mais elle est difficile à mettre en oeuvre. L'utilisateur doit donc se résigner à recourir à la technique sur laquelle on peut émettre le moins d'objections.